Volume 7 Number 2 (Feb. 2012)
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JCP 2012 Vol.7(2): 384-392 ISSN: 1796-203X
doi: 10.4304/jcp.7.2.384-392

Stability Analysis for Uncertain Stochastic Delayed Neural Networks of Neutral-Type with Discrete and Distributed Delays

Guoquan Liu1, Simon X. Yang2, Wei Fu1
1College of Automation, Chongqing University, Chongqing, China
2School of Engineering, University of Guelph, Guelph, Ontario, Canada


Abstract—The paper studies delay-dependent global robust problem for a class of uncertain stochastic delayed neural networks of neutral-type with discrete and distributed delays. Novel stability criteria are obtained in terms of linear matrix inequality (LMI) by employing the Lyapunov- Krasovskii functional method and using the free-weighting matrices technique. In addition, two examples are given to show the effectiveness of the obtained conditions.

Index Terms—Global robust stability; Delayed neural networks; Neutral-type; Lyapunov-Krasovskii functional; Discrete and distributed delays.

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Cite: Guoquan Liu, Simon X. Yang, Wei Fu, "Stability Analysis for Uncertain Stochastic Delayed Neural Networks of Neutral-Type with Discrete and Distributed Delays," Journal of Computers vol. 7, no. 2, pp. 384-392, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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